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Can Remotely Sensed Actual Evapotranspiration Facilitate Hydrological Prediction in Ungauged Regions Without Runoff Calibration?
Zhang, Yongqiang1; Chiew, Francis H. S.2; Liu, Changming1; Tang, Qiuhong1; Xia, Jun1,3; Tian, Jing1; Kong, Dongdong4; Li, Congcong1
2020
Source PublicationWATER RESOURCES RESEARCH
ISSN0043-1397
Volume56Issue:1Pages:15
Corresponding AuthorZhang, Yongqiang(yongqiang.zhang2014@gmail.com)
AbstractRunoff prediction in ungauged catchments is a significant hydrological challenge. The common approach is to calibrate hydrological models against streamflow data from gauged catchments, and then regionalize or transfer parameter values from the gauged calibration to predict runoff in the ungauged catchments. This paper explores the potential for using parameter values from hydrological models calibrated solely against readily available remotely sensed evapotranspiration data to estimate runoff time series. The advantage of this approach is that it does not require observed streamflow data for model calibration and is therefore particularly useful for runoff prediction in poorly gauged or ungauged regions. The modeling experiments are carried out using data from 222 catchments across Australia. The results from the remotely sensed evapotranspiration runoff-free calibration are encouraging, particularly in simulating monthly runoff and mean annual runoff in the wetter catchments. However, results for daily runoff and in the drier regions are relatively poor, and further developments are needed to realize the benefit of direct model calibration against remotely sensed data to predict runoff in ungauged catchments.
DOI10.1029/2019WR026236
WOS KeywordSOIL-MOISTURE ; MODEL ; STREAMFLOW ; CATCHMENTS ; ENSEMBLE ; REGIONALIZATION ; ASSIMILATION ; PARAMETERS ; AUSTRALIA ; CLIMATE
Indexed BySCI
Language英语
Funding ProjectCAS Pioneer Hundred Talents Program ; National Natural Science Foundation of China[41971032]
Funding OrganizationCAS Pioneer Hundred Talents Program ; National Natural Science Foundation of China
WOS Research AreaEnvironmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
WOS SubjectEnvironmental Sciences ; Limnology ; Water Resources
WOS IDWOS:000520132500031
PublisherAMER GEOPHYSICAL UNION
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Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/133188
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhang, Yongqiang
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
2.CSIRO Land & Water, Canberra, ACT, Australia
3.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Whuhan, Peoples R China
4.Sun Yan Sen Univ, Sch Geog & Planning, Guangzhou, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Yongqiang,Chiew, Francis H. S.,Liu, Changming,et al. Can Remotely Sensed Actual Evapotranspiration Facilitate Hydrological Prediction in Ungauged Regions Without Runoff Calibration?[J]. WATER RESOURCES RESEARCH,2020,56(1):15.
APA Zhang, Yongqiang.,Chiew, Francis H. S..,Liu, Changming.,Tang, Qiuhong.,Xia, Jun.,...&Li, Congcong.(2020).Can Remotely Sensed Actual Evapotranspiration Facilitate Hydrological Prediction in Ungauged Regions Without Runoff Calibration?.WATER RESOURCES RESEARCH,56(1),15.
MLA Zhang, Yongqiang,et al."Can Remotely Sensed Actual Evapotranspiration Facilitate Hydrological Prediction in Ungauged Regions Without Runoff Calibration?".WATER RESOURCES RESEARCH 56.1(2020):15.
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